Publications

@inproceedings{hortenhuemer2020multi,
  title={A Multi-Aspect Classification Ensemble Approach for Profiling Fake News Spreaders on Twitter},
  author={H{\"o}rtenhuemer, Clemens and Zangerle, Eva},
  booktitle={Proceedings of the International Conference and Labs of the Evaluation Forum (CLEF), Thessaloniki, Greece},
  pages={22--25},
  year={2020}
}

@inproceedings{bevendorff2020overview,
  title={Overview of PAN 2020: Authorship Verification, Celebrity Profiling, Profiling Fake News Spreaders on Twitter, and Style Change Detection},
  author={Bevendorff, Janek and Ghanem, Bilal and Giachanou, Anastasia and Kestemont, Mike and Manjavacas, Enrique and Markov, Ilia and Mayerl, Maximilian and Potthast, Martin and Rangel, Francisco and Rosso, Paolo and others},
  booktitle={International Conference of the Cross-Language Evaluation Forum for European Languages (CLEF 2020)},
  pages={372--383},
  year={2020},
  organization={Springer}
}

@inproceedings{zangerle2020overview,
  title={Overview of the style change detection task at PAN 2020},
  author={Zangerle, Eva and Mayerl, Maximilian and Specht, G{\"u}nther and Potthast, Martin and Stein, Benno},
  year={2020},
  organization={CLEF}
}

@inproceedings{zangerle_ismir20,
 author = {Liu, Meijun and Zangerle, Eva and Hu, Xiao and Melchiorre, Alessandro and Schedl, Markus},
 booktitle = {Proceedings of the 21st International Society for Music Information Retrieval Conference 2020 (ISMIR
2020)},
 month = {10},
 pages = {157-165},
 title = {Pandemics, Music, and Collective Sentiment: Evidence from the Outbreak of COVID-19},
 year = {2020}
}

@inproceedings{neurips_creativity19,
title = {{Creating GANs for generating poems, lyrics and metaphors}},
author = {Asir Saeed and Suzana Ilic and Eva Zangerle},
year = {2019},
booktitle = {{NeurIPS Machine Learning for Creativity and Design Workshop},
url = {https://neurips2019creativity.github.io/}}
}

@inproceedings{tschuggnall-etal-2019-reduce,
    title = "Reduce {\textbackslash}{\&} Attribute: Two-Step Authorship Attribution for Large-Scale Problems",
    author = {Tschuggnall, Michael  and
      Murauer, Benjamin  and
      Specht, G{\"u}nther},
    booktitle = "Proceedings of the 23rd Conference on Computational Natural Language Learning (CoNLL)",
    month = nov,
    year = "2019",
    address = "Hong Kong, China",
    publisher = "Association for Computational Linguistics",
    url = "https://www.aclweb.org/anthology/K19-1089",
    doi = "10.18653/v1/K19-1089",
    pages = "951--960",
}

@inproceedings{zangerle_ismir19,
title = {{Hit Song Prediction: Leveraging Low- and High-Level Audio Features}},
author = {Eva Zangerle and Ramona Huber and Michael V\"{o}tter and  Yi-Hsuan Yang},
year = {2019},
pages = {319--326},
booktitle = {{Proceedings of the 20th International Society for Music Information Retrieval Conference 2019 (ISMIR 2019)}},
url = {http://archives.ismir.net/ismir2019/paper/000037.pdf}
}

@inproceedings{DBLP:conf/clef/DaelemansKMPPRS19,
author = {Walter Daelemans and
Mike Kestemont and
Enrique Manjavacas and
Martin Potthast and
Francisco M. Rangel Pardo and
Paolo Rosso and
G{\"{u}}nther Specht and
Efstathios Stamatatos and
Benno Stein and
Michael Tschuggnall and
Matti Wiegmann and
Eva Zangerle},
title = {Overview of {PAN} 2019: Bots and Gender Profiling, Celebrity Profiling,
Cross-Domain Authorship Attribution and Style Change Detection},
booktitle = {{Experimental {IR} Meets Multilinguality, Multimodality, and Interaction
- 10th International Conference of the {CLEF} Association, {CLEF}
2019, Lugano, Switzerland, September 9-12, 2019, Proceedings}},
pages = {402--416},
year = {2019},
doi = {10.1007/978-3-030-28577-7_30},
series = {Lecture Notes in Computer Science},
volume = {11696},
publisher = {Springer},
}

@inproceedings{bauer2019leveraging,
  title={Leveraging Multi-Method Evaluation for Multi-Stakeholder Settings},
  author={Bauer, Christine and Zangerle, Eva},
  year={2019},
  booktitle = {{Proceedings of the 1st Workshop on the Impact of Recommender Systems
co-located with 13th ACM Conference on Recommender Systems (ACM RecSys 2019)}},
  publisher = {ceur-ws.org},
}

@InProceedings{zangerle:2019,
  author =              {Eva Zangerle and Michael Tschuggnall and G{\"{u}}nther Specht and Martin Potthast and Benno Stein},
  booktitle =           {{CLEF 2019 Labs and Workshops, Notebook Papers}},
  crossref =            {pan:2019},
  editor =              {Linda Cappellato and Nicola Ferro and {David {E.}} Losada and Henning M{\"{u}}ller},
  month =               sep,
  publisher =           {CEUR-WS.org},
  title =               {{Overview of the Style Change Detection Task at PAN 2019}},
  url =                 {http://ceur-ws.org/Vol-2380/},
  year =                {2019}
}

@InProceedings{10.1007/978-3-030-28577-7_7,
author="Murauer, Benjamin
and Specht, G{\"u}nther",
editor="Crestani, Fabio
and Braschler, Martin
and Savoy, Jacques
and Rauber, Andreas
and M{\"u}ller, Henning
and Losada, David E.
and Heinatz B{\"u}rki, Gundula
and Cappellato, Linda
and Ferro, Nicola",
title="Generating Cross-Domain Text Classification Corpora from Social Media Comments",
booktitle="20th Conference and Labs of the Evaluation Forum (CLEF'2019)",
year="2019",
publisher="Springer International Publishing",
address="Cham",
pages="114--125",
isbn="978-3-030-28577-7"
}

@article{coassin2019comprehensive,
  title={A Comprehensive Map Of The Variability In The Lipoprotein (A) Kiv 2 Repeat Region And Follow-Up Of The Kiv-2 Arg20ter Mutation In 11,000 Individuals},
  author={Coassin, S and Sch{\"o}nherr, S and Weissensteiner, H and Erhart, G and Di Maio, S and Forer, L and Lamina, C and Peters, A and Thorand, B and Eckardt, KU and others},
  journal={Atherosclerosis},
  volume={287},
  pages={e58},
  year={2019},
  publisher={Elsevier},
  doi = {10.1016/j.atherosclerosis.2019.06.164}
}

@inproceedings{DBLP:conf/wikis/SchmidtZ19,
author = {Manuel Schmidt and
Eva Zangerle},
title = {{Article Quality Classification on Wikipedia: Introducing Document
Embeddings and Content Features}},
booktitle = {{Proceedings of the 15th International Symposium on Open Collaboration,
OpenSym 2019, Sk{\"{o}}vde, Sweden, August 20-22, 2019}},
pages = {13:1--13:8},
year = {2019},
crossref = {DBLP:conf/wikis/2019},
url = {https://doi.org/10.1145/3306446.3340831},
doi = {10.1145/3306446.3340831},
publisher = {{ACM}},
year = {2019},
url = {https://dl.acm.org/citation.cfm?id=3306446},
isbn = {978-1-4503-6319-8},
}

@inproceedings{gvdb1019_1,
  author    = {Maximilian Mayerl and
               Michael V{\"{o}}tter and
               Eva Zangerle and
               G{\"{u}}nther Specht},
  title     = {Language Models for Next-Track Music Recommendation},
  booktitle = {Proceedings of the 31st GI-Workshop Grundlagen von Datenbanken, Saarburg,
               Germany, June 11-14, 2019.},
  pages     = {15--19},
  year      = {2019},
  url       = {http://ceur-ws.org/Vol-2367/paper\_1.pdf},
}

@inproceedings{gvdb2019_2,
  author    = {Michael V{\"{o}}tter and
               Eva Zangerle and
               Maximilian Mayerl and
               G{\"{u}}nther Specht},
  title     = {Autoencoders for Next-Track-Recommendation},
  booktitle = {Proceedings of the 31st GI-Workshop Grundlagen von Datenbanken, Saarburg,
               Germany, June 11-14, 2019.},
  pages     = {20--25},
  year      = {2019},
  url       = {http://ceur-ws.org/Vol-2367/paper\_2.pdf},
}

@InProceedings{10.1007/978-3-030-15719-7_28,
author="Tschuggnall, Michael
and Gerrier, Thibault
and Specht, G{\"u}nther",
editor="Azzopardi, Leif
and Stein, Benno
and Fuhr, Norbert
and Mayr, Philipp
and Hauff, Claudia
and Hiemstra, Djoerd",
title="StyleExplorer: A Toolkit for Textual Writing Style Visualization",
booktitle="Proceedings of the 41th European Conference on Information Retrieval (ECIR 2019): Advances in Information Retrieval",
year="2019",
publisher="Springer International Publishing",
address="Cham",
pages="220--224",
isbn="978-3-030-15719-7"
}

@inproceedings{kessler2019relax,
	Address = {Rostock, Germany},
	Author = {Johannes Kessler, Michael Tschuggnall and G{\"u}nther Specht},
	Booktitle = {Proceedings of the 18th Fachtagung des GI-Fachbereichs Datenbanksysteme f{\"u}r Business, Technologie und Web (BTW)},
	Date-Added = {2019-03-26 13:34:11 +0100},
	Date-Modified = {2019-03-26 13:36:35 +0100},
	Month = {March},
	Pages = {503-506},
	Publisher = {GI},
	Series = {LNI},
	Title = {{RelaX: A Webbased Execution and Learning Tool for Relational Algebra}},
	Year = {2019}}

@article{doi:10.1002/bate.201800092,
author = {Fröch, Georg and Gächter, Werner and Tautschnig, Arnold and Specht, Günther},
title = {Merkmalserver im Open-BIM-Prozess},
journal = {Bautechnik},
doi = {10.1002/bate.201800092},
url = {https://onlinelibrary.wiley.com/doi/abs/10.1002/bate.201800092},
eprint = {https://onlinelibrary.wiley.com/doi/pdf/10.1002/bate.201800092},
year= {2019}
}

@inproceedings{hiebelidentifikation,
title={{Zur Identifikation und Verortung von Bergnamen in alpiner Literatur}},
author={Hiebel, Gerald and Hanke, Klaus and Posch, Claudia and Rampl, Gerhard and Gruber, Elisabeth and Mussmann, Andrea and Zangerle, Eva},
booktitle = {{20. Internationale Geodätische Woche Obergurgl 2019}},
publisher = {{VDE Verlag}},
isbn = {978-3-87907-659-8},
pages = {91--100},
year = {2019},
url = {https://www.uibk.ac.at/geometrie-vermessung/gruppe_vermessung_und_geoinformation/geodaetische_wochen/obergurgl_2019/programm_072018.html}
}

@article{Coassin01012019,
author = {Coassin, Stefan and Schönherr, Sebastian and Weissensteiner, Hansi and Erhart, Gertraud and Forer, Lukas and Losso, Jamie Lee and Lamina, Claudia and Haun, Margot and Utermann, Gerd and Paulweber, Bernhard and Specht, Günther and Kronenberg, Florian}, 
title = {A comprehensive map of single-base polymorphisms in the hypervariable LPA kringle IV type 2 copy number variation region},
volume = {60}, 
number = {1}, 
pages = {186-199}, 
year = {2019}, 
doi = {10.1194/jlr.M090381}, 
URL = {http://www.jlr.org/content/60/1/186.abstract}, 
eprint = {http://www.jlr.org/content/60/1/186.full.pdf+html}, 
journal = {Journal of Lipid Research} 
}

@inproceedings{mediaeval19_tai,
 author = {Hsiao-Tzu Hung and Yu-Hua Chen and Maximilian Mayerl and Michael Vötter and Eva Zangerle and Yi-Hsuan Yang},
 booktitle = {Working Notes Proceedings of the MediaEval 2019 Workshop},
 month = {12},
 publisher = {ceur-ws.org},
 title = {MediaEval 2019 Emotion and Theme Recognition task: A VQ-VAE Based Approach},
 year = {2019}
}

@inproceedings{mediaeval19_inn,
 author = {Maximilian Mayerl and Michael Vötter and Hsiao-Tzu Hung and Boyu Chen and Yi-Hsuan Yang and Eva Zangerle},
 booktitle = {Working Notes Proceedings of the MediaEval 2019 Workshop},
 month = {12},
 publisher = {ceur-ws.org},
 title = {Recognizing Song Mood and Theme Using Convolutional Recurrent Neural Networks},
 year = {2019}
}

@inproceedings{zangerle_ismir18,
title = {Content-based User Models: Modeling the Many Faces of Musical Preference},
author = {Eva Zangerle and Martin Pichl},
editor = {Emilia Gomez and Xiao Hu and Eric Humphrey and Emmanouil Benetos},
year = {2018},
date = {2018-09-22},
booktitle = {Proceedings of the 19th International Society for Music Information Retrieval Conference 2018 (ISMIR 2018)},
pages = {709--716}
}

@inproceedings{8516495,
title = {Latent Feature Combination for Multi-Context Music Recommendation},
author = {Martin Pichl and Eva Zangerle},
doi = {10.1109/CBMI.2018.8516495},
year = {2018},
date = {2018-09-01},
booktitle = {2018 International Conference on Content-Based Multimedia Indexing (CBMI)},
pages = {1-6},
abstract = {In recent years, music aficionados have increasingly been consuming music via public music streaming platforms. Due to the size of the collections provided, music recommender systems have become a vital component as these aim to provide recommendations that match the user's current context as, throughout the day, users listen to music in numerous different contexts and situations. In this paper, we propose a multi-context-aware track recommender system that jointly exploits information about the current situation and musical preferences of users. To jointly model users by their situational and musical preferences, we cluster users based on their situational features and similarly, cluster music tracks based on their content features. Our experiments show that by relying on Factorization Machines for the computation of recommendations, the proposed approach allows to successfully leverage interaction effects between listening histories, situational and track content information, substantially outperforming a set of baseline recommenders.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}

@inproceedings{cmc18,
title = {Leiwand Oida: Geolocating Regional Linguistic Variation of German on Twitter},
author = {Bettina Larl and Eva Zangerle},
url = {https://www.uantwerpen.be/images/uantwerpen/container49896/files/proceedings_CMCcorpora2018.pdf},
year = {2018},
date = {2018-09-06},
booktitle = {Proceedings of the 6th Conference on Computer-Mediated Communication (CMC) and Social Media Corpora (CMC-corpora 2018)},
}